Goodness of fits: one model, different datasets [General Statistics]
Hi Danmark!
Ehhm, whut? Maybe you are to fixated for statical testing? How about some oldfashioned "visual inspection of fit" paired with "back-calculated value of calibration samples from calibration function, including relative deviation"?
Just saying
No idea what you want to compare in the end, so...
❝ ... I am very poor at explaining what I think I am looking for but I would call it a »"fit likelihood" or "correlation statistic that is sample size corrected"...
Ehhm, whut? Maybe you are to fixated for statical testing? How about some oldfashioned "visual inspection of fit" paired with "back-calculated value of calibration samples from calibration function, including relative deviation"?
Just saying

No idea what you want to compare in the end, so...
—
Kindest regards, nobody
Kindest regards, nobody
Complete thread:
- Goodness of fits: one model, different datasets ElMaestro 2017-10-06 23:01 [General Statistics]
- Goodness of fits: one model, different datasetsnobody 2017-10-07 16:03
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Visualization ElMaestro 2017-10-07 19:07
- multiple regression? Helmut 2017-10-08 17:17
- just y=ax+b ElMaestro 2017-10-08 17:30
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:50
- just y=ax+b nobody 2017-10-08 20:26
- ANCOVA with R? yjlee168 2017-10-08 21:28
- just y=ax+b DavidManteigas 2017-10-09 10:34
- just y=ax+b nobody 2017-10-09 10:45
- just y=ax+b Helmut 2017-10-10 18:15
- just y=ax+b ElMaestro 2017-10-08 17:50
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:30
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Goodness of fits: one model, different datasetsnobody 2017-10-07 16:03